{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "PKXjV0eXpK18" }, "source": [ "# 2장. 지도 학습" ] }, { "cell_type": "markdown", "metadata": { "id": "ahUL9-LepK2B" }, "source": [ "*아래 링크를 통해 이 노트북을 주피터 노트북 뷰어(nbviewer.org)로 보거나 구글 코랩(colab.research.google.com)에서 실행할 수 있습니다.*\n", "\n", "
\n",
" 주피터 노트북 뷰어로 보기\n",
" | \n",
" \n",
" 구글 코랩(Colab)에서 실행하기\n",
" | \n",
"
KNeighborsClassifier(n_neighbors=3)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
KNeighborsClassifier(n_neighbors=3)
KNeighborsRegressor(n_neighbors=3)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
KNeighborsRegressor(n_neighbors=3)
RandomForestClassifier(n_estimators=5, random_state=2)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
RandomForestClassifier(n_estimators=5, random_state=2)
GradientBoostingClassifier(random_state=0)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
GradientBoostingClassifier(random_state=0)
GradientBoostingClassifier(learning_rate=0.01, random_state=0)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
GradientBoostingClassifier(learning_rate=0.01, random_state=0)